Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Mini_2017_US with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Mini_2017_US with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Mini_2017_US") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Mini_2017_US") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- df539a5627fefd4412d9c014e55dcf2fc1850ebc992bf3d672f5ea1565844e05
- Size of remote file:
- 81.8 MB
- SHA256:
- 72bcf5bcb0450a5b48cd5729bb609581c51c3de3333f8a325df3d378b7ce0001
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